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[CI/UT][Refactor] Some refactors on UT
* move e2e spec decode and deepseek acc test to per pr * move test_fused_moe_allgather_ep.py to e2e/multicard * remove e2e test on deepseek-v2-lite due to already test acc Signed-off-by: MengqingCao <cmq0113@163.com>
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.github/workflows/vllm_ascend_test.yaml

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@@ -268,7 +268,13 @@ jobs:
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--ignore=tests/e2e/singlecard/test_ilama_lora.py \
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--ignore=tests/e2e/singlecard/test_guided_decoding.py \
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--ignore=tests/e2e/singlecard/test_camem.py \
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--ignore=tests/e2e/singlecard/test_embedding.py
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--ignore=tests/e2e/singlecard/test_embedding.py \
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--ignore=tests/e2e/singlecard/spec_decode_v1/test_v1_mtp_correctness.py \
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--ignore=tests/e2e/singlecard/spec_decode_v1/test_v1_spec_decode.py
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# ------------------------------------ v1 spec decode test ------------------------------------ #
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VLLM_USE_MODELSCOPE=True pytest -sv tests/e2e/singlecard/spec_decode_v1/test_v1_mtp_correctness.py
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# TODO: revert me when test_v1_spec_decode.py::test_ngram_correctness is fixed
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VLLM_USE_MODELSCOPE=True pytest -sv tests/e2e/singlecard/spec_decode_v1/test_v1_spec_decode.py
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- name: Run e2e test on V0 engine
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if: ${{ github.event_name == 'schedule' }}
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--ignore=tests/e2e/singlecard/test_guided_decoding.py \
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--ignore=tests/e2e/singlecard/test_camem.py \
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--ignore=tests/e2e/singlecard/test_prompt_embedding.py \
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--ignore=tests/e2e/singlecard/core/test_ascend_scheduler.py \
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--ignore=tests/e2e/singlecard/core/test_ascend_scheduler_e2e.py \
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--ignore=tests/e2e/singlecard/test_embedding.py
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e2e-4-cards:
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# To avoid oom, we need to run the test in a single process.
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_multistream_moe
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_dbo
@@ -386,7 +389,6 @@ jobs:
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# Fixme: run VLLM_USE_MODELSCOPE=True pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py will raise error.
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# To avoid oom, we need to run the test in a single process.
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_QwQ
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_topk
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pytest -sv tests/e2e/multicard/test_offline_inference_distributed.py::test_models_distributed_DeepSeek_W8A8
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pytest -sv tests/e2e/multicard/test_data_parallel.py

.github/workflows/vllm_ascend_test_long_term.yaml

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@@ -100,10 +100,6 @@ jobs:
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# v0 spec decode test
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VLLM_USE_MODELSCOPE=True pytest -sv tests/e2e/long_term/spec_decode_v0/e2e/test_mtp_correctness.py # it needs a clean process
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pytest -sv tests/e2e/long_term/spec_decode_v0 --ignore=tests/e2e/long_term/spec_decode_v0/e2e/test_mtp_correctness.py
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# v1 spec decode test
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VLLM_USE_MODELSCOPE=True pytest -sv tests/e2e/long_term/spec_decode_v1/test_v1_mtp_correctness.py
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# TODO: revert me when test_v1_spec_decode.py::test_ngram_correctness is fixed
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VLLM_USE_MODELSCOPE=True pytest -sv tests/e2e/long_term/spec_decode_v1/test_v1_spec_decode.py
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# accuracy test single card
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pytest -sv tests/e2e/long_term/test_accuracy.py
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else

tests/e2e/multicard/test_offline_inference_distributed.py

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@@ -73,21 +73,6 @@ def test_models_distributed_DeepSeek_multistream_moe():
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vllm_model.generate_greedy(example_prompts, max_tokens)
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def test_models_distributed_DeepSeek():
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example_prompts = [
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"Hello, my name is",
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]
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dtype = "half"
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max_tokens = 5
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with VllmRunner(
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"deepseek-ai/DeepSeek-V2-Lite",
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dtype=dtype,
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tensor_parallel_size=4,
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distributed_executor_backend="mp",
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) as vllm_model:
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vllm_model.generate_greedy(example_prompts, max_tokens)
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@patch.dict(os.environ, {"VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE": "1"})
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def test_models_distributed_topk() -> None:
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example_prompts = [

tests/e2e/long_term/spec_decode_v1/test_v1_mtp_correctness.py renamed to tests/e2e/singlecard/spec_decode_v1/test_v1_mtp_correctness.py

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@@ -50,6 +50,8 @@ def model_name():
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return "wemaster/deepseek_mtp_main_random_bf16"
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@pytest.mark.skipif(
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True, reason="TODO: Enable me after test_mtp_correctness is fixed")
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def test_mtp_correctness(
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monkeypatch: pytest.MonkeyPatch,
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test_prompts: list[list[dict[str, Any]]],

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